AI-3019 Build AI Apps with Azure Database for PostgreSQL
Guaranteed to Run
Price
$695.00
Duration
1 Day
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
ESTDescription
Objectives
Prerequisites
Content
Course Description
This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL - Flexible Server can enable you to build AI-powered apps.
Course Objectives
- Generative AI & LLMs – Understand core concepts and integrate LLMs with Azure Database for PostgreSQL.
- azure_ai Extension – Enable seamless interaction with Azure AI services.
- Semantic Search – Implement semantic search for improved relevance and precision.
- Data Summarization – Apply extractive, abstractive, and query-focused summarization techniques.
- Text Analytics – Perform sentiment analysis, opinion mining, and entity extraction with Azure AI Language.
- Translation – Use Azure AI Translator for multilingual data processing.
- ML Inferencing – Integrate Azure Machine Learning models for predictions directly from PostgreSQL.
- End-to-End Applications – Build intelligent applications combining these AI capabilities.
Who Should Attend?
- Database Developers & DBAs – enhance and manage PostgreSQL with AI capabilities
- IT Professionals & Systems Architects – integrate AI into PostgreSQL environments on Azure
- AI Application Developers & Software Engineers – build AI-enabled applications with PostgreSQL backends
- Data Scientists – embed AI models and insights directly into PostgreSQL databases
Course Prerequisites
Before starting this module, you should have experience working with PostgreSQL databases, writing SQL queries, and a general understanding of AI and ML concepts.
Course Content
Module 1: Introduction to Generative AI in PostgreSQL
- Fundamentals of generative AI and language models
- Azure AI extension overview
- Schemas: Azure OpenAI, Azure Cognitive, and Azure Machine Learning
Module 2: Semantic Search with Azure AI
- Principles of semantic search
- Storing vectors in PostgreSQL
- Creating embeddings with the Azure AI extension
- Semantic search use cases
Module 3: Data Summarization
- Extractive summarization
- Abstractive summarization
Module 4: Sentiment Analysis & Opinion Mining
- Sentiment analysis basics
- Opinion mining techniques
Module 5: Insight Extraction with Azure AI Language
- Key phrase extraction
- Entity recognition
- PII entity detection
Module 6: Text Translation
- Azure AI Translator overview
- Translating data in PostgreSQL
Module 7: Machine Learning Integration
- Azure Machine Learning overview
- Invoking ML models from PostgreSQL
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